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Shipment Investigator

Find lost shipments without manually searching hours of CCTV

Details

External ID
1248493
Source
PH
Company
—
Product
Shipment Investigator
Website domain
producthunt.com
Launched
Sept. 13, 2026
Cohort
—
Upvotes
1
Upvotes percentile
0.30815693820825313
Tags
Artificial Intelligence, GitHub, Delivery, Operations
Fetched at
Sept. 15, 2026, 1:02 a.m.
Updated at
Sept. 15, 2026, 1:02 a.m.

Description

Shipment Investigator helps sort-center teams investigate lost and missorted parcels from a single AWB. It traces operational scans, opens the relevant CCTV evidence, and returns the shipment’s last verified location with an evidence trail. The public demo uses simulated WMS/CCTV data; the architecture is designed so facility engineers can connect real WMS, VMS/CCTV, sorter and legacy systems.

Enrichment

Theme
system maintenance and file utilities
Vertical
Logistics
Function
Search & retrieval
Audience
B2B
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
video search tool for lost logistics shipments
Manually corrected
False

Could you build this?

No Real warehouse CCTV parcel tracking requires proprietary computer vision models, video management system (VMS) integrations, edge camera pipelines, and custom spatial-temporal tracking across facility cameras.

What it would actually take: A production deployment needs integration with on-premise Video Management Systems (Milestone, Genetec) and industrial Warehouse Management Systems via proprietary protocols. The core requires multi-camera multi-target tracking (MCMT) computer vision models running on edge/GPU servers, synchronized with conveyor belt speeds and optical barcode scan triggers to locate parcels across overlapping video feeds under difficult lighting and occlusion conditions.

Competitors

Other products that read as similar to this one — 27 launches clear the similarity bar, closest 8 shown.

Attention rank: #11 of 28 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 192 days after the earliest competitor.

Other launches for this product